Reinforced concrete structure crack detection dataset 10519
Description
A dataset comprising a total of 10,519 images depicting cracked surfaces and an equal number of images depicting non-cracked surfaces (indicating the absence of cracks in the entire image) was established from a previous data collection. These images in the dataset were manually labeled by the authors as “crack” and “intact (non-crack).” This dataset is freely available for academic and research purposes, including direct use in training, validation, benchmarking, and comparative studies of damage detection and segmentation algorithms. If you use this dataset in any publication, report, or derivative work, please cite the following paper: Wang, J., Wang, P., Qu, L., Pei, Z., & Ueda, T. (2024). Automatic detection of building surface cracks using UAV and deep learning‐combined approach. Structural Concrete, 25(4), 2302-2322.